{"url":"/dataset/amharic-error-corpus","name":"Amharic Error Corpus","full_name":null,"description_markdown":"Amharic Error Corpus is a manually annotated spelling error corpus for Amharic, lingua franca in Ethiopia. The corpus is designed to be used for the evaluation of spelling error detection and correction. The misspellings are tagged as non-word and real-word errors. In addition, the contextual information available in the corpus makes it useful in dealing with both types of spelling errors.","description_withheld":null,"homepage":"https://github.com/andmek/ErrorCorpus","introduced_date":"2021-06-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/manually-annotated-spelling-error-corpus-for","title":"Manually Annotated Spelling Error Corpus for Amharic","first_author":"Andargachew Mekonnen Gezmu","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"Amharic","url":"/datasets/language/amharic"}],"variants":["Amharic Error Corpus"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}